Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...

Smart Fork Detection solves the "context loss" problem in AI-assisted development by maintaining a searchable vector database of all your Claude Code sessions. When you need to work on a similar task ...

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have introduced Recursive Language Models (RLMs), an inference-time paradigm that fundamentally reimagines how ...

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental. JITing, or “just-in-time” compilation, can make relatively slow ...

This is the fourth time I rebuilt this library from scratch to find the sweet spot between ease of use (beautiful is better than ugly!), testability (simple is better than complex!) and potential for ...

If you’ve hit a performance wall with Python in production, you’re not alone. Even the cleanest code can underperform if it doesn’t scale well, respond quickly, or make efficient use of system ...

Microsoft’s Copilot generative AI is popping up on the web, in mobile apps, in the Edge browser, and especially in Windows. But just what exactly is it? Here’s everything you need to know. I've been ...

The object-oriented paradigm popularized by languages including Java and C++ has slowly given way to a functional programming approach that is advocated by popular Python libraries and JavaScript ...

Work is pushing AI pretty hard and some people are chewing up tokens like crazy. We had a session where one coworker showed his cursor setup and the different MCP servers he's tied into to automate ...

Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...